Machine Learning Engineer

PrimeDefense USA; København; On-site; DKK 88,000 - 106,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Opportunities for professional develop

Job summary

PrimeDefense USA is seeking a skilled Machine Learning Engineer to design, develop, and implement cutting-edge ML models for biometric passport verification in Copenhagen. You will play a key role in building robust models and collaborating with a multidisciplinary team.

The role offers an opportunity to work on biometric verification systems, leverage TensorFlow or PyTorch, and contribute to data-driven decisions in a dynamic environment in Copenhagen.

Qualifications

• Bachelor's or Master's degree in Computer Science, Mathematics, or related field.
• Minimum of 3 years experience in developing machine learning solutions.
• Strong proficiency in Python or R.
• Knowledge of TensorFlow or PyTorch.
• Experience with Tableau or Power BI is a plus.
• Familiarity with biometric passport verification systems is preferred.
• Excellent problem-solving skills and ability to think critically about complex problems.

Responsibilities

• Develop and implement machine learning models to solve complex problems in biometric passport verification.
• Work closely with cross-functional teams including data scientists, software engineers, and product managers to understand project requirements and deliver high-quality solutions.
• Continuously research and experiment with new techniques and technologies to improve the performance of existing models.
• Collaborate with data engineers to collect, process, and clean large datasets for training machine learning models.
• Communicate effectively with stakeholders to present findings and recommendations from machine learning experiments.

Skills

Python

R

DL frameworks

Problem solving

Education

Bachelor's or Master's degree in Computer Science, Mathematics, or related field

Tools

Tableau

Power BI

Job description

We are hiring a highly skilled and experienced Machine Learning Engineer to join our team in Copenhagen. As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing cutting‑edge machine learning algorithms and models for various projects.

Key Responsibilities

• Develop and implement machine learning models to solve complex problems in the field of biometric passport verification.
• Work closely with cross‑functional teams including data scientists, software engineers, and product managers to understand project requirements and deliver high‑quality solutions.
• Continuously research and experiment with new techniques and technologies to improve the performance of existing models.
• Collaborate with data engineers to collect, process, and clean large datasets for training machine learning models.
• Communicate effectively with stakeholders to present findings and recommendations from machine learning experiments.

Requirements

• Bachelor's or Master's degree in Computer Science, Mathematics, or related field.
• Minimum of 3 years experience in developing machine learning solutions in a professional setting.
• Strong proficiency in programming languages such as Python or R.
• Knowledge of deep learning frameworks such as TensorFlow or PyTorch.
• Experience with data visualization tools such as Tableau or Power BI is a plus.
• Familiarity with biometric passport verification systems is preferred.
• Excellent problem‑solving skills and ability to think critically about complex problems.

Salary

We offer a competitive salary of $1300 per month.

Benefits

• health insurance
• paid time off
• opportunities for professional development

We value our employees' hard work and dedication and strive to create a positive work environment where everyone can thrive.

Location

Our company is located in the beautiful city of Copenhagen. With its vibrant culture, excellent public transportation system, and high quality of life, Copenhagen is an ideal place for professionals looking for an exciting career opportunity.

If you are passionate about using your skills in machine learning to make a positive impact on society, we would love to hear from you.